Supplementary data for the publication in Clinical Epigenetics, <b>Allelic Expression Patterns of Imprinted and Non-imprinted Genes in Cancer Cell Lines from Multiple Histologies.... by Julia Krushkal (18276223)

“…Additionally, 6 summary and cutoff files are provided for the pancancer dataset including all 108 cell lines at the gene, isoform, and exon levels.</p><p dir="ltr">The source code for the pipeline for generating the data is provided in the archive <b>Source_code.zip</b>. …”

Table 1_Demethylase FTO mediates m6A modification of ENST00000619282 to promote apoptosis escape in rheumatoid arthritis and the intervention effect of Xinfeng Capsule.docx by Fanfan Wang (1669474)

“…The m6A modification of long non-coding RNAs (lncRNAs) plays a critical regulatory role in RA pathogenesis. …”

Table 1_An interpretable machine learning model for early prediction of Escherichia coli infection in ICU patients.docx by Shu Yang (381226)

“…E. coli infection was identified based on microbiological results and diagnostic codes. Missing data were imputed using the missForest algorithm. …”

Vaccines, Public Health, and the Politics of Immunity: Safety, Debate, and Global Perspectives by Minehli Arakelians Gheshlagh (21983870)

“…</li></ul><p dir="ltr">These visuals complement textual analysis, providing intuitive understanding of complex epidemiological, sociopolitical, and ethical dynamics.…”

The Guardian Reading Dataset by Frans Van der Sluis (18365826)

“…Each participant evaluated 18 articles sampled at three levels of textual complexity (low, medium, high), determined by a readability algorithm (Van der Sluis, 2014). …”

<b>SAFE: </b><b>s</b><b>ensitive </b><b>a</b><b>nnotation </b><b>f</b><b>inding and </b><b>e</b><b>xtraction from multi-type Chinese maps via hybrid intelligence and knowledge grap... by jiaxin ren (20482655)

“…<p dir="ltr">Sensitive annotations typically contain key geographic elements or sensitive information vital for geographic information security. …”

Table 1_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf by Salwa Hassanein (20843468)

“…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …”

Table 2_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf by Salwa Hassanein (20843468)

“…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …”

Table 3_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf by Salwa Hassanein (20843468)

“…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …”

Data Sheet 1_ARGContextProfiler: extracting and scoring the genomic contexts of antibiotic resistance genes using assembly graphs.pdf by Nazifa Ahmed Moumi (7434359)

“…Knowledge of whether an ARG is carried in the chromosome or on a specific mobile genetic element (MGE) is critical to understanding mobility, persistence, and potential for co-selection. …”

<b>Road intersections Data with branch information extracted from OSM</b> & <b>C</b><b>odes to implement the extraction </b>&<b> I</b><b>nstructions on how to </b><b>reproduce each... by Zihao Tang (19794537)

“…</li></ul><h3>(4) Folder: <b>maxRadiusBuffer</b></h3><p dir="ltr">This folder focuses on the code of a greedy algorithm that produces the largest nonoverlapping buffers for a given collection of points.…”

Table 1_High-throughput end-to-end aphid honeydew excretion behavior recognition method based on rapid adaptive motion-feature fusion.docx by Zhongqiang Song (21669041)

“…</p>Methods<p>This study established the first fine-grained dataset encompassing aphid Crawling Locomotion(CL), Leg Flicking(LF), and HE behaviors, offering standardized samples for algorithm training. A rapid adaptive motion feature fusion algorithm was developed to accurately extract high-granularity spatiotemporal motion features. …”

iNCog-EEG (ideal vs. Noisy Cognitive EEG for Workload Assessment) Dataset by Fariya Bintay Shafi (21692408)

“…Inside each folder, four <b>.EDF</b> files represent the workload conditions:</p><pre><pre>subxx_nw.EDF → No Workload (resting state) <br>subxx_lw.EDF → Low Workload (easy multitasking) <br>subxx_mw.EDF → Moderate Workload (medium multitasking) <br>subxx_hw.EDF → High Workload (hard multitasking) <br></pre></pre><ul><li><b>Subjects 01–30:</b> Clean EEG recordings</li><li><b>Subjects 31–40:</b> Noisy EEG recordings with real-world artifacts</li></ul><p dir="ltr">This structure ensures straightforward differentiation between clean vs. noisy data and across workload levels.</p><h3>Applications</h3><p dir="ltr">This dataset can be applied to a wide range of research areas, including:</p><ul><li>EEG signal denoising and artifact rejection</li><li>Binary and hierarchical <b>cognitive workload classification</b></li><li>Development of <b>robust Brain–Computer Interfaces (BCIs)</b></li><li>Benchmarking algorithms under <b>ideal and noisy conditions</b></li><li>Multitasking and mental workload assessment in <b>real-world scenarios</b></li></ul><p dir="ltr">By combining controlled multitasking protocols with deliberately introduced environmental noise, <b>iNCog-EEG provides a comprehensive benchmark</b> for advancing EEG-based workload recognition systems in both clean and challenging conditions.…”

Supporting data for "Fracture and Non-linear Response of Biopolymer Network with Dynamic Cross-linkers" by Bingxian Tang (9151802)

“…It details the input parameters, such as line density and crosslink number, as well as the algorithms employed for filament arrangement and crosslink determination. …”

<b>Supplementary Materials for:</b> <b>Pan-Cancer Analysis Reveals LncRNA CDKN2B-AS1 as an Immune-Related Biomarker Validated in LIHC and ACC</b> by Dandan Lin (18192946)

“…S8-S10: Comprehensive analysis of the relationship between CDKN2B-AS1 expression and the infiltration levels of diverse immune cells using TIMER2.0 and CIBERSORT algorithms.…”

Data Sheet 1_Evaluating the effectiveness of AI-enhanced “One Body, Two Wings” pharmacovigilance models in China: a nationwide survey on medication safety and risk management.pdf... by Jian Yang (12136)

“…As the pharmaceutical landscape grows more complex, integrating AI into pharmacovigilance offers the potential to enhance adverse drug reaction (ADR) detection and monitoring.</p>Methods<p>A nationwide cross-sectional survey was conducted from June 25 to August 10, 2024, involving 1,000 participants from pharmacovigilance centers, hospitals, corporations, and the general public. …”

Raw Data for "Development of Decision Support Systems Based on Fuzzy and Binary Logic for the FOREX Foreign Exchange Market" by Serhii Hetsko (22413559)

“…This would also allow a reasonable approach to the choice of a specific method.</p><p dir="ltr"><b>Research objective.</b>The aim of this work is to develop multi-timeframe hybrid DSS for algorithmic trading based on fuzzy and classical binary logic with probabilistic elements. …”

SPM Shape-PCA model by Yael Balbastre (6779027)

“…<p dir="ltr">This dataset contains the parameters of a random orbit model, where the template represents the mean shape of a population and deviations from this mean shape are encoded by geodesics sampled from a multivariate Gaussian distribution.<br></p><ul><li><code>shape_pca_template_{01234}.nii</code> contain the template with increasingly refined levels of details.…”

Collaborative research: CyberTraining: Implementation: Medium: Training users, developers, and instructors at the chemistry/physics/materials science interface by Francesco Paesani (5128004)

“…The primary objectives are to establish a robust community of materials modeling developers and to enhance computational training at both undergraduate and graduate levels. The project seeks to recruit and train future leaders in materials modeling, foster community engagement, and promote coding literacy across disciplines.…”

Lagoons for Life - The role of Earth Observation in supporting holistic coastal lagoon management by Eirini Politi (4774692)

“…EO can  provide critical insights into the physical, ecological, and social dimensions of coastal  lagoons, addressing limitations in current approaches and complementing other data  sources. The paper also identifies the challenges associated with EO technologies,  including the need for algorithm validation, data standardisation, and enabling data  accessibility to under-resourced regions, and provides a set of bullet points with further  recommendations. …”